客座编辑 IEEE《计算领域新兴课题论文集》"新兴隐私保护计算的进展 "专栏

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jinguang Han;Patrick Schaumont;Willy Susilo
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引用次数: 0

摘要

机器学习和云计算大大提高了数据的实用性。这些技术为我们的生活提供了便利,并提供了智能化的服务。值得注意的是,机器学习算法需要从大量训练数据中学习,以提高准确性。因此,数据是机器学习的核心组成部分,发挥着重要作用。云计算是一种新型计算模式,可按需提供数据存储、计算能力和基础设施等服务。数据所有者可以将数据外包给云服务器,但会失去对数据的直接控制。数据泄露的上升趋势表明,隐私和安全已成为机器学习和云计算的主要问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Guest Editorial IEEE Transactions on Emerging Topics in Computing Special Section on Advances in Emerging Privacy-Preserving Computing
Machine learning and cloud computing have dramatically increased the utility of data. These technologies facilitate our life and provide smart and intelligent services. Notably, machine learning algorithms need to learn from massive training data to improve accuracy. Hence, data is the core component of machine learning and plays an important role. Cloud computing is a new computing model that provides on-demand services, such as data storage, computing power, and infrastructure. Data owners are allowed to outsource their data to cloud servers, but will lose direct control of their data. The rising trend in data breach shows that privacy and security have been major issues in machine learning and cloud computing.
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来源期刊
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Emerging Topics in Computing Computer Science-Computer Science (miscellaneous)
CiteScore
12.10
自引率
5.10%
发文量
113
期刊介绍: IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.
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